Folksonomical P2P File Sharing Networks Using Vectorized KANSEI Information as Search Tags

Abstract

SUMMARYWe present the concept of folksonomical peer-to-peer (P2P) file sharing networks that allow participants (peers) to freely assign structured search tags to files. These networks are similar to folksonomies in the present Web from the point of view that users assign search tags to information distributed over a network. As a concrete example, we consider an unstructured P2P network using vectorized Kansei (human sensitivity) information as structured search tags for file search. Vectorized Kansei information as search tags indicates what participants feel about their files and is assigned by the participant to each of their files. A search query also has the same form of search tags and indicates what participants want to feel about files that they will eventually obtain. A method that enables file search using vectorized Kansei information is the Kansei query-forwarding method, which probabilistically propagates a search query to peers that are likely to hold more files having search tags that are similar to the query. The similarity between the search query and the search tags is measured in terms of their dot product. The simulation experiments examine if the Kansei query-forwarding method can provide equal search performance for all peers in a network in which only the Kansei information and the tendency with respect to file collection are different among all of the peers. The simulation results show that the Kansei query forwarding method and a random-walk-based query forwarding method, for comparison, work effectively in different situations and are complementary. Furthermore, the Kansei query forwarding method is shown, through simulations, to be superior to or equal to the random-walk based one in terms of search speed.

Search in a hybrid P2P system using a node map formed by a self-organising map

“…However, the conventional KANSEI information search system requires the correspondences between KANSEI information as search tags and search objects to be established in advance. A recent study has been researching a P2P system that enables us to search objects by using KANSEI information but does not require correspondences between KANSEI information and search objects to be already established (Ohnishi et al, 2009).…”

“…At this moment, several folksonomies are running and most of them allow users to freely assign keywords to shared information (Delicious, http://delicious.com/; Flickr, http://www.flickr.com/). We recently conducted a study for realising the application of folksonomies in a P2P network (Ohnishi et al, 2009). …”